Sr Software Engineer

Stefanini, Inc; Southfield (MI); On-site; USD 110,000 - 150,000; Full time

Job summary

Stefanini, Inc. invites a Sr Software Engineer to join the Southfield, MI office to design and maintain scalable data infrastructure.

You will build data pipelines, models, and applications for efficient data workflows, and work closely with AI/ML teams and product managers to meet data requirements while ensuring security and reliability. The role emphasizes rigorous testing, monitoring, and optimization of pipelines, with opportunities to contribute across data collection, transformation, and

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Data Science or a foreign equivalent, and at least two (2) years of experience as a Software Engineer or similar position.
• Proficiency with SQL and Python; experience with Java and PowerShell.
• Hands-on experience with Google Cloud Platform (GCP), BigQuery, cloud storage, and ETL/ELT pipelines.
• CI/CD pipeline implementation; awareness of AI/ML concepts and tools.

Responsibilities

• Design, build, and maintain scalable data infrastructure for data collection, storage, transformation, and analysis.
• Develop data pipelines, data models, and applications to enable efficient data workflow.
• Collaborate with AI/ML engineers, data scientists, and product managers to integrate data solutions and ensure data security.
• Implement testing strategies and monitor, optimize, and troubleshoot data pipelines.

Education

Bachelor's degree in Computer Science, Computer Engineering, Data Science or foreign equivalent

Tools

SQL

Python

Java

PowerShell

GCP

BigQuery

Cloud storage

ETL/ELT

CI/CD

AI/ML

Job description

Join us to co-create solutions for a better future!

Job Details

SoftwareEngineer

Sr Software Engineer Southfield,MI Posted:8/5/2026

Job Description Job ID#: 64553

Job Category: SoftwareEngineer

Remaining Positions: 1

Details: Stefanini, Inc. seeks a Software Engineer, Sr. reporting to office in Southfield, MI to design, build, and maintain reliable, efficient, and scalable data infrastructure for data collection, storage, transformation, and analysis. Plan, design, build, and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow. Design, implement, and maintain existing and future data platforms. Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks. Design, build, and maintain highly scalable, fault-tolerant, and performant data pipelines to ingest and process data. Architect and implement a unified data model capable of connecting all relevant data elements across various sources. Leverage Google Claud Platform (GCP) services to build and manage robust data storage, processing, and orchestration layers. Implement rigorous data quality gates, validation rules, bad record handling, and comprehensive logging. Ensure strict adherence to data security policies, IAM role management, and GCP perimeter security. Work closely with AI/ML engineers, data scientists, and product managers to understand data requirements, integrate data solutions with multi-agentic systems, and optimize data delivery. Implement robust testing strategies. Continuously monitor, optimize, and troubleshoot data pipelines.

Job Requirements Details: Qualified candidates must have a Bachelor's degree in Computer Science, Computer Engineering, Data Science or a foreign equivalent, and at least two (2) years of experience as a Software Engineer or similar position utilizing all of the following: SQL; Python; Google Cloud Platform (GCP); ETL/ELT data processing pipelines; data transformation and data integration; BigQuery (Data warehouse and analytics); cloud storage; CI/CD pipeline implementation; AI/ML; Java; and PowerShell. Work at various, unanticipated locations throughout the US is possible. Relocation costs not paid. This is not travel but would be based on a change in the customers. Relocation would be once a year at most. #DNI #DE-DNI #LI-DNI

Pay Range: Based on Experience